523 search results - page 56 / 105 » Metric Learning for Text Documents |
MLMI
2007
Springer
15 years 5 months ago
2007
Springer
This paper explores the issue of term-weighting in the genre of spontaneous, multi-party spoken dialogues, with the intent of using such term-weights in the creation of extractive ...
SIGIR
2006
ACM
15 years 5 months ago
2006
ACM
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
107
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DOCENG
2006
ACM
15 years 5 months ago
2006
ACM
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
116
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IDA
2006
Springer
14 years 11 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
SIGIR
1998
ACM
15 years 3 months ago
1998
ACM
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...